#ifndef _OPENCV_LBPFEATURES_H_
#define _OPENCV_LBPFEATURES_H_

#include "traincascade_features.h"

#define LBPF_NAME "lbpFeatureParams"
struct CvLBPFeatureParams : CvFeatureParams {
	CvLBPFeatureParams();

};

class CvLBPEvaluator : public CvFeatureEvaluator {
public:
	virtual ~CvLBPEvaluator() {}
	virtual void init(const CvFeatureParams* _featureParams,
					  int _maxSampleCount, Size _winSize );
	virtual void setImage(const Mat& img, uchar clsLabel, int idx);
	virtual float operator()(int featureIdx, int sampleIdx) const
	{ return (float)features[featureIdx].calc( sum, sampleIdx); }
	virtual void writeFeatures( FileStorage& fs, const Mat& featureMap ) const;
protected:
	virtual void generateFeatures();

	class Feature {
	public:
		Feature();
		Feature( int offset, int x, int y, int _block_w, int _block_h  );
		uchar calc( const Mat& _sum, size_t y ) const;
		void write( FileStorage& fs ) const;

		Rect rect;
		int p[16];
	};
	vector<Feature> features;

	Mat sum;
};

inline uchar CvLBPEvaluator::Feature::calc(const Mat& _sum, size_t y) const {
	const int* sum = _sum.ptr<int>((int)y);
	int cval = sum[p[5]] - sum[p[6]] - sum[p[9]] + sum[p[10]];

	return (uchar)((sum[p[0]] - sum[p[1]] - sum[p[4]] + sum[p[5]] >= cval ? 128 : 0) |   // 0
				   (sum[p[1]] - sum[p[2]] - sum[p[5]] + sum[p[6]] >= cval ? 64 : 0) |    // 1
				   (sum[p[2]] - sum[p[3]] - sum[p[6]] + sum[p[7]] >= cval ? 32 : 0) |    // 2
				   (sum[p[6]] - sum[p[7]] - sum[p[10]] + sum[p[11]] >= cval ? 16 : 0) |  // 5
				   (sum[p[10]] - sum[p[11]] - sum[p[14]] + sum[p[15]] >= cval ? 8 : 0) | // 8
				   (sum[p[9]] - sum[p[10]] - sum[p[13]] + sum[p[14]] >= cval ? 4 : 0) |  // 7
				   (sum[p[8]] - sum[p[9]] - sum[p[12]] + sum[p[13]] >= cval ? 2 : 0) |   // 6
				   (sum[p[4]] - sum[p[5]] - sum[p[8]] + sum[p[9]] >= cval ? 1 : 0));     // 3
}

#endif
